Finite-size scaling hypothesis provides a scaling framework for our observables as a function of the system size \(L\) , giving rise to a number of scaling and critical exponents which are able to classify the model [1]}, [2]}. Various gap exponents and fractal dimensions can then be defined by the following proposed scaling behaviors,
\(\bar{\Delta }\,(L) \sim L^{-\beta _1},\,\,\,\,\,\chi _{\Delta } \sim L^{-\beta _2},\) 
\(\bar{S}{_c^-}(L) \sim L^{d_{f_1}^-},\,\,\,\,\,\chi _ {{S}{_c^-}} \sim L^{d_{f_2}^-},\) 
\(\bar{S}{_c^+}(L) \sim L^{d_{f_1}^+},\,\,\,\,\,\chi _{{S}{_c^+}} \sim L^{d_{f_2}^+},\) 
\(\bar{t}{_c}(L)-\bar{t}{_c}(\infty ) \sim L^{-1/\nu _1},\,\,\,\,\,\chi _{t_c} \sim L^{-1/\nu _2}.\) 
